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In this paper, a method for the design of a wideband beamformer with temporal sparsity is proposed. The main advantage of the proposed design is its low implementation complexity as the number of non-zero valued coefficients is reduced significantly. It is formulated as an l1 minimisation problem with an added frequency invariant (FI) constraint if an FI response is desired. As a result, sparsity...
Sparse wideband array design for sensor location optimization is highly nonlinear and it is traditionally solved by genetic algorithms (GAs) or other similar optimization methods. This is an extremely time-consuming process and an optimum solution is not always guaranteed. In this work, this problem is studied from the viewpoint of compressive sensing (CS). Although there have been CS-based methods...
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